Among collegeage students 1824 years old 92 have hypertensio

Among college-age students (18-24 years old), 9.2% have hypertension. During a blood-donor program conducted during finals week, a blood-pressure reading is taken first, revealing that out of 200 donors, 29 have hypertension. The sample proportion of successes (p-hat) is exactly 0.145 Assuming that hypertension in finals week is the same as at other times, what is the probability of getting a sample result as large as ours (p-value)? 0.00475 which comes from a test-statistic of z= 2.59 Assuming that hypertension in finals week is the same as at other times, what is the probability of getting a sample result as from 0.092 as ours is (p-value)? ????????????? I cant find this one question 2. The ideal (daytime) noise-level for hospitals is 45 decibels with a standard deviation of 10 db. A simple random sample of 81 hospitals at a moment during the day gives a mean noise level of 47 db. Assume that the standard deviation of noise level is really 10 db. All answers to two places after the decimal. (a) A 99% confidence interval for the actual mean noise level in hospitals is (44.13 db, 49.87 db) (b) We can be 90% confident that the actual mean noise level in hospitals is _____??? db , db with a margin of error of 1.83 db (c) Unless our sample (of 81 hospitals) is among the most unusual 2% of samples, the actual mean noise level in hospitals is between __??___ db and _??____ db (d) A 99.9% confidence interval for the actual mean noise level in hospitals is (43.35, 50.65) (e) Assuming our sample of hospitals is among the most typical half of such samples, the actual mean noise level in hospitals is between ____??? db and ___? db. (f) We are 95% confident that the actual mean noise level in hospitals is ___??? db with a margin of error of 2.18 db 3. The ideal (daytime) noise-level for hospitals is 45 decibels with a standard deviation of 10 db. A simple random sample of 81 hospitals at a moment during the day gives a mean noise level of 47 db. Assume that the standard deviation of noise level is really 10 db. Assuming that the average noise level of hospitals is what it\'s supposed to be, what is the probability of a sample of 81 hospitals producing an average as high as our sample\'s (p-value)????????

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